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Abstract #1625

Phase Stabilization with Motion Compensated Gradient Waveforms for Brain Diffusion Weighted Imaging (DWI)

Ariel J Hannum1,2,3, Tyler E Cork1,2,3, Merlin J Fair1,2, Kawin Setsompop1,4, and Daniel B Ennis1,2
1Department of Radiology, Stanford University, Stanford, CA, United States, 2Division of Radiology, Veterans Administration Health Care System, Palo Alto, CA, United States, 3Department of Bioengineering, Stanford University, Stanford, CA, United States, 4Department of Electrical Engineering, Stanford University, Stanford, CA, United States


Conventional brain DWI acquisitions are sensitive to physiological motion, which causes shot-to-shot phase variations between images. This makes accelerated, multi-shot imaging harder to achieve. We propose that motion compensated gradient waveforms will improve shot-to-shot phase stability. We found that both velocity and acceleration gradient moment nulling, particularly when diffusion encoding along the z-axis, improves shot-to-shot phase consistency at different cardiac trigger-delay times and reduces phase variation between repetitions for a fixed trigger-delay. We conclude that motion-compensated diffusion encoding gradients improve the phase stability between image shots.

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